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Jurnal Teknik Industri

industri
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Published by Universitas Muhammadiyah Malang

ISSN : 19781431 EISSN : 25274112 DOI : -

Core Subject : Economy, Science, Engineering,

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering

Dr. Saiful Anwar Malang is a state hospital has done it is job and function, but in 3rd class of pavilion room, the number of patient decrease dramatically. It is concerned with quality of this hospital. To answer this problem, research was done using Quality Function Deployment (QFD). Quality Function Deployment is a tool which design some needs include customers represented as a voice of customer and including some competitions and also groups some activities that usually called affinity graphic ang getting a benchmarking for it is competition. From the result analysis can be showed that main attribute for patience is a accuracy. And from House Of Quality can be found that getting a periodic meeting to evaluate this hospital and also increase a service can be made 20 concept

Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Strategi dan Menejemen

Articles 717 Documents

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The MILP Model for Locating the Temporary Disaster Emergency Operation Centers in Manado Indonesia Andre Ch. Lasut; Prudensy Febreine Opit; Ronaldo Rottie
Jurnal Teknik Industri Vol. 21 No. 1 (2020): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

The research proposes the Mixed Integer Linear Programming Model (MILP). This model integrates the location decisions and the number of temporary Emergency Operations Center (EOC) to be constructed. This model also focuses on events related to natural disasters, particularly floods. The researchers applied this model according to the flood scenario in five flood-prone districts in Manado, Indonesia. This research focused on maximizing the number of temporary constructed EOCs to provide the relief demands of disaster areas by considering multiple periods. The available budgets were considered as the limited constraints in this model. Therefore, the results showed that the percentage of relief demand satisfaction ranges from 28% to 100%; meanwhile, the number of the to-be-constructed temporary EOCs ranges from 0-3 for each scenario.

A Design to Improve the Quality of OVO Electronic Money Payment Services in Tokopedia using IPA and PGCV Eki Septiani; Eko Pujiyanto; Muhammad Hisjam
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Currently, many online payment applications have sprung up in the community. This requires online payment application providers to compete in providing the best service for the community. This study aims to design an increase in the service quality of the OVO online payment application in Indonesia. This research applied Importance Performance Analysis (IPA) and Potential Gain in Customer Value (PGCV) methods to map the performance of service attributes and determine the priority service attributes for improvement. Based on the research conducted, the use of IPA and PGCV methods has been successfully utilized to map the performance of service attributes and determine priority attributes that should be improved.

Location Routing Problem with Consideration of CO2 Emissions Cost: A Case Study Ananda Noor Sholichah; Y Yuniaristanto; I Wayan Suletra
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Location and routing are the main critical problems investigated in a logistic. Location-Routing Problem (LRP) involves determining the location of facilities and vehicle routes to supply customer's demands. Determination of depots as distribution centers is one of the problems in LRP. In LRP, carbon emissions need to be considered because these problems cause global warming and climate change. In this paper, a new mathematical model for LRP considering CO2 emissions minimization is proposed. This study developed a new Mixed Integer Linear Programming (MILP) model for LRP with time windows and considered the environmental impacts. Finally, a case study was conducted in the province of Central Java, Indonesia. In this case study, there are three depot candidates. The study results indicated that using this method in existing conditions and constraints provides a more optimal solution than the company's actual route. A sensitivity analysis was also carried out in this case study.

The Mapping of Sustainability Index in Small and Medium Enterprises: A Case Study in Lampung Indonesia Lintang Harwina Madyaratry; Hartrisari Hardjomidjojo; Elisa Anggraeni
Jurnal Teknik Industri Vol. 21 No. 1 (2020): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Small-medium enterprises (SMEs) generally have constraints on their performance efficiency and productivity. It affects the ability of SMEs to compete in the global market. Therefore, the mapping of SME conditions needs to be analyzed. This study aims to map the SME conditions and find out SME’s sustainability index. This study uses a multidimensional scaling method through ecological, social, economic, technological, and institutional dimensions. A case study was carried out at Banana Chips SMEs in Lampung Province. These SMEs are the mainstays of Lampung Province. The results show that the SME condition was divided into three categories: poor, good, and very good. The status of the sustainability of SMEs in each dimension was divided into two groups: the poor category for the technology dimension and the good category both for the ecological, social, economic, and institutional dimensions. The results of the mapping of SME’s sustainability index produced several improvement strategies for SMEs.

The Influence of Turnover Factors Toward Employees’ Intention to Stay: A Case Study in Indonesian Islamic Universities Nazaruddin Malik
Jurnal Teknik Industri Vol. 21 No. 1 (2020): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

This study analyzed employee turnover factors, such as satisfaction, organizational commitment, and religiosity, to predict the employees’ intention to stay. Very few studies in the Muslim context have explored such a corporate attitude from job satisfaction and organizational commitment. This study employed a quantitative and descriptive research design. A survey was used to analyze the correlation between some predictors of the employees’ intention to stay. In particular, it attempted to show that religiosity affected both job satisfaction and organizational commitment either directly or indirectly. The data were obtained from 150 employees in some Islamic universities in Malang, Indonesia. The findings revealed that religious beliefs influenced job satisfaction. Job satisfaction significantly affected the employees' commitment. Religiosity directly impacted corporate commitment through job satisfaction, and religiosity was positively related to the employees' intention to stay. Regarding this, the employees who keep religious beliefs in the workplace are encouraged to perform excellently.

Development of Risk Evaluation and Mitigation Systems for Logistics System Ahmad Rusdiansyah; Della Deswiana Pratama; Muhammad Faisal Ibrahim
Jurnal Teknik Industri Vol. 21 No. 1 (2020): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Logistic activities are significant activities that pose various risks for the company. These risks can affect the company’s performance. To be able to compete in the globalization era, companies need proper risk management. This study aimed to develop Risk Evaluation and Mitigation Systems. We offered four stages: risk identification, risk analysis, risk evaluation, and risk response. A case study was conducted to implement the proposed Risk Evaluation and Mitigation Systems. The results indicated that the proposed Risk Evaluation and Mitigation Systems were proven to be appropriately applied to evaluate company risks and provide mitigation recommendations.

Multi-Objective Optimization Model of Multi-Pass Turning Operations to Minimize Energy, Carbon Emissions, and Production Costs Aprilia Dityarini; Eko Pujiyanto; I Wayan Suletra
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Sustainable manufacturing aspects are environmental, economic, and social. These aspects can be applied to an optimization model in the machining process. An optimization model is needed to determine the optimum cutting parameters. This research develops a multi-objective optimization model that can optimize cutting parameters on a multi-pass turning. Decision variables are cutting parameters multi-pass turning. This research has three objective functions for minimizing energy, carbon emissions, and costs. Three functions are searched for optimal values using the GEKKO. A numerical example is given to show the implementation of the model and solved using GEKKO and Interior Point Optimizer (IPOPT). The results of optimization indicate that the model can be used to optimize the cutting parameters.

Decision Support System for Community Housing Subsidy Recipients Adhi Nugraha; Alvian Widianto; M. Irfan; M. Nasar; Merinda Lestandy
Jurnal Teknik Industri Vol. 21 No. 1 (2020): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Human needs consist of primary, secondary, and tertiary needs. In primary needs, the house is one of the most critical primary needs in supporting one’s life. However, not all residents in Indonesia can meet these needs. Therefore, the government provides subsidized housing ownership programs for people with low income. This study aims to propose a decision support system in determining the proper housing subsidy recipients. The method used in weighting is Analytic Hierarchy Process (AHP). Previous research was still limited to the selection of subsidized housing for developers and potential buyers. This method is projected to provide results in the form of a priority sequence of alternative solutions based on test results. The results were considered capable of providing a better solution for selecting prospective recipients of the housing subsidy program.

Mixed-Integer Linear Programming Model for Production Planning: A Case Study at Sawn Timber Production Octavia Riskadayanti; Muhammad Hisjam; Y Yuniaristanto
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

The sawmill industry is an industry that processes logs into sawn timber products through several processes to maximize profits and meet customer demand. The process involves essential operations that have to be coordinated to get the desired product with the available resources optimally. Efficient operations can be achieved through optimal production planning by considering some factors to optimize the number of sawn timber product combinations. Optimal production planning is expected to have an impact, such as reducing the use of raw materials that can affect inventory and procurement. In this research, the author has developed a mathematical model for production planning to determine the optimal number of sawn timber product combinations. Problems were solved using mixed-integer linear programming methods with mathematical modeling that aimed for maximizing profit. Production costs, raw material costs, and purchasing costs were critically considered in this mathematical modeling. The result showed that using the developed model could integrate the factors above, fulfill the demand, and increase company income.

The Model for Location Routing Problem with Roaming Delivery Locations Stefanus Ivan Laksono; Y. M. Kinley Aritonang; Julius Dharma Lesmono
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

The Location Routing Problem with Roaming Delivery Locations (LRPRDL) is a model that represents company activities in delivering products to final customers. Direct delivery to final customers has increased significantly over the growth of e-commerce in the world. E-commerce or business-to-customer companies are urged to increase their last-mile distribution efficiency to survive in the global competition. For that purpose, the LRPRDL model was proposed to increase the efficiency of the company’s last-mile distribution. The model aims to minimize the sum of open depots and transportation costs by determining the number and location of depots and the shipping routes. The LRPRDL was implemented in an instance with four depot candidates, 15 customers, and six vehicles. The instance was solved to the optimality by using a public solver Gurobi. Furthermore, this research conducted a sensitivity analysis on the open depots and fuel costs, customer demand, and radius. The study indicated that customer’s demand and radius have a significant impact on the purchase decision.

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Sugeng Santoso

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Departement Industrial Engineering University of Muhammadiyah Malang Jl. Tlogomas No 246 Malang

Location
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Jawa timur

INDONESIA

Abstract

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Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Sugeng Santoso

Contact Email sugeng.santoso@mercubuana.ac.id

Phone +6282132044774

Journal Mail Official ti.jurnal@umm.ac.id

Editorial Address Departement Industrial Engineering University of Muhammadiyah Malang Jl. Tlogomas No 246 Malang

Location Kota malang, Jawa timur INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Sugeng Santoso

Contact Email
sugeng.santoso@mercubuana.ac.id

Phone
+6282132044774

Journal Mail Official
ti.jurnal@umm.ac.id

Editorial Address
Departement Industrial Engineering University of Muhammadiyah Malang Jl. Tlogomas No 246 Malang

Location
Kota malang,

Jawa timur

INDONESIA